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Measurement Analyst, Fusepoint

Data Analyst Full-time Permanent Ecuador

Job details

Not specified Salary
Ecuador Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview

Analyze marketing and customer data to improve campaign measurement, explain performance, and recommend practical next steps. The role combines statistical thinking, data engineering awareness, reporting, forecasting, and clear communication with internal stakeholders. Work may include statistical modeling, experiment design, incremental-impact analysis, customer analysis, and attribution-based measurement.

Responsibilities

- Analyze large and varied datasets with R, SQL, and Python to identify performance patterns, business opportunities, and areas for improvement. - Translate findings into concise explanations that clearly answer the business question, explain the “so what,” and recommend an action. - Develop statistics-based performance forecasts and support modern measurement approaches for marketing programs. - Coordinate analytical delivery and collaboration through a task-management workflow, maintaining reliable timelines and clear handoffs. - Use AI-assisted methods to improve analytical and operational processes where appropriate. - Contribute to high-quality reporting and measurement work by checking accuracy, clarity, methodological limitations, and usefulness to decision-makers.

Requirements

- Bachelor’s degree in marketing, business administration, or a related field. - At least two years of experience in marketing analytics. - Proficiency in R or Python and SQL. - Strong data-visualization skills using tools such as Looker, Tableau, Power BI, or Excel. - Experience with ETL platforms such as Funnel.io or Fivetran. - Strong communication, presentation, organization, attention to detail, independence, teamwork, and ability to work under pressure. - Solid understanding of statistical modeling, experiment design, customer analysis, statistical limitations, and the data infrastructure needed to support data science.

Nice to have

Experience with digital data-collection tools such as GA4, Google Tag Manager, or Adobe Analytics is useful. Additional relevant experience includes ad-platform reporting, third-party pixels, product catalogs, and server-side tracking.

Benefits and work setup

The source emphasizes advanced English proficiency and evaluates the role on analytical accuracy, clarity, timeliness, and the quality of internal communication and collaboration.

Skills detected in the listing

PythonSQLPower BITableauLookerStakeholder Management
Detected Sep 18, 2026
Last verified Sep 18, 2026

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